Literature DB >> 30349377

Confirmed value of shear wave elastography for ultrasound characterization of breast masses using a conservative approach in Chinese women: a large-size prospective multicenter trial.

Xi Lin1, Cai Chang2,3, Changjun Wu4, Qin Chen5, Yulan Peng6, Baoming Luo7, Lina Tang8, Jing Li9, Jihui Zheng10, Ruhai Zhou11, Guanghe Cui12, Ao Li13, Xuemei Wang14, Linxue Qian15, Jianxing Zhang16, Chaoyang Wen17, Joel Gay18, Huili Zhang18, Anhua Li1, Yaling Chen2,3.   

Abstract

PURPOSE: This study aimed to investigate the value of shear wave elastography (SWE) for characterization of breast masses in a Chinese population. PATIENTS AND METHODS: Two thousand two hundred seventy-three women consented to be prospectively enrolled for the characterization of breast masses with ultrasound and SWE. Breast masses were known from symptoms, palpability, and/or previous imaging screening with mammography and/or ultrasound. Correlation of SWE qualitative and quantitative features with malignancy risk and impact on diagnostic performance of combining SWE features were assessed, and the Breast Imaging Reporting and Data System (BI-RADS) scoring was calculated using histopathology as reference.
RESULTS: Data of 2,262 masses (median size: 13 mm; range: 1.3-50) from 2,262 patients (median age: 43 years; range: 18-91) were investigated, of which 752 (33.3%) were malignant. Sensitivity and specificity of BI-RADS diagnosis were 97.5% (733/752) and 54.8% (827/1,510), respectively. By logistic regression, the combination of maximum elasticity (E max) measurements with BI-RADS assessments increased the area under the receiver operating characteristic curve from 0.908 (95% CI: 0.896-0.920) to 0.954 (95% CI: 0.944-0.962). Using E max of 30 kPa or lower to selectively downgrade BI-RADS 4a masses to follow-up, and E max of 160 kPa or higher to selectively upgrade BI-RADS 3 lesions to biopsy, specificity significantly increased from 54.8% (827/1,510) to 66.1% (998/1,510) (P<0.001) while sensitivity decreased nonsignificantly from 97.5% (733/752) to 96.9% (729/752) (P=0.2891). Positive predictive value for biopsy recommendation increased from 51.7% (733/1,417) to 58.7% (729/1,241) (P<0.001).
CONCLUSION: Adding SWE maximum stiffness to BI-RADS 3 and BI-RADS 4a breast masses in a Chinese population increased significantly the specificity of breast ultrasonography, without significant change in sensitivity.

Entities:  

Keywords:  breast cancer; multicenter; shear wave elastography; ultrasound

Year:  2018        PMID: 30349377      PMCID: PMC6187919          DOI: 10.2147/CMAR.S174690

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Ultrasonography (US) has become an indispensable tool in breast imaging. Morphologic descriptors of a given lesion seen on grayscale imaging were standardized by the American College of Radiology (ACR) with the Breast Imaging Reporting and Data System (BI-RADS)-US lexicon.1 The major advantages of this system are improved reliability and reproducibility of cancer risk assessment,2,3 high sensitivity (at least 90%), and negative predictive value (NPV; at least 90%) for breast cancer. However, it causes a high incidence of false-positive BI-RADS 4a, which leads to unnecessary biopsy.4,5 Mammography is the imaging modality of preference for breast cancer screening, although its sensitivity may decrease to 30%–48% in women with dense breasts,6,7 leading to insufficient screening accuracy in Asian populations including Chinese.8,9 The Japan Strategic Anti-cancer Randomized Trial (J-START) reported that US could offer a low cost way to increase the detection of early breast cancer.10 Another multicenter randomized trial revealed that US was superior to mammography for breast cancer screening in high-risk Chinese women.11 Breast US elastography has become a routine tool in addition to diagnostic US, enabling an increase in specificity by selectively reconsidering biopsy for low suspicion, BI-RADS 4a lesions.12 US elastographic evaluation has been incorporated into the second edition of the BI-RADS-US lexicon,1,13 and the Korean Society for Ultrasound in Medicine published its guidelines for the use of breast elastography.14 ShearWave™ Elastography (SWE™) is commercially available on the Aixplorer® general purpose ultrasound system (SuperSonic Imagine, Aix-en-Provence, France). SWE can provide qualitative and quantitative elastic information in real time and has proven to be highly reproducible.15 The clinical utility of SWE in ultrasonic diagnosis of breast lesions was demonstrated in previous studies, including the transatlantic BE1 study, the prospective multicenter, multinational study with the largest sample size published so far based on American and European population.16–19 It is concluded that adding SWE features, and especially maximum stiffness evaluation to US grayscale imaging could significantly reduce the number of false-positive cases, leading to a specificity increase from 61.1% to 78.5% without any loss in sensitivity. The clinical utility of SWE for ultrasound diagnosis of breast lesions in Asian populations has only been studied in single-center studies to date. The purpose of this prospective multicenter study was to validate the added value of SuperSonic Imagine SWE as proposed by Berg et al for the characterization of breast masses in a Chinese population.16

Patients and methods

This prospective Health Insurance Portability and Accountability Act (HIPAA)-compliant study protocol (www.clinicaltrials.gov, NCT02226081), funded by SuperSonic Imagine, was approved by Shanghai Fudan Medical University Chinese Ethics Committee (#1405135-3) and conducted from June 2014 to June 2015 in 16 Chinese mainland hospitals. There were 80 investigators in this study who were ultrasound specialists with a minimum experience of 4,000 breast ultrasound cases in the preceding 2 years, and they had a minimum training phase of 20 SWE examinations supervised by SuperSonic Imagine staff.

Ethics, consent, and permission

This study was approved by Shanghai Fudan Medical University Chinese Ethics Committee (#1405135-3). All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and national research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. Written informed consent was obtained from all individual participants included in the study.

Consent for publication

Written informed consent for the publication of these details was obtained from all participants.

Patients

Consecutive female patients of at least 18 years of age deriving from diagnosis who gave written informed consent were recruited and received SWE examinations free of charge. Breast lesions classified BI-RADS 2, 3, 4, or 5 had to be visible on ultrasound. Exclusion criteria included inability to give written informed consent, lesions previously treated or biopsied, multiple lesions, pregnant or breastfeeding women, breast lesions classified as BI-RADS 0 or 6, and women with previous ipsilateral breast surgery and/or with breast implants (More details in Supplementary material).

Data collection

Ultrasound examination

Ultrasound examinations were performed on Aixplorer ultrasound imaging system (SuperSonic Imagine) using the SL15-4 transducer in two orthogonal planes by one of two sonographers with over 10 years’ experience in breast imaging. Ultrasound characterization was performed according to the BI-RADS: Ultrasound lexicon.1 Lesion size was defined as the largest dimension of the maximum diameters measured in both scanning planes. Three SWE acquisitions of three frozen frames were acquired following the manufacturer recommendations in both scanning planes, using the default maximum color scale of 180 kPa (7.7 m/second). Images were evaluated collectively by two principle investigators who were blinded to each other’s findings. Another experienced sonographer was invited to discuss and finally reach a consensus when the two principle investigators did not reach agreement. Lesion maximum diameter on SWE images was measured encompassing the entire lesion on B-mode images and any stiffness halo immediately adjacent. Qualitative and quantitative SWE features were assessed.16,20

Qualitative features

Qualitative features including SWE shape, SWE shape similarity with B-mode images, SWE homogeneity, and SWE color patterns were recorded (Details in Supplementary material). SWE shapes of breast lesions were identified as three types, including oval, round, and irregular types. By comparing the SWE shapes with B-mode images, we identified the similarity as very similar, reasonably similar, and dissimilar. SWE homogeneity was evaluated as very homogeneous, reasonably homogeneous, and not homogeneous, by observing the color distribution inside the lesions and between adjacent areas. Seven color patterns could be demonstrated in this study including no finding, vertical stripes pattern, rim of stiffness pattern, colored lesion pattern, void center pattern, horseshoe pattern, and spots pattern (Figure 1).
Figure 1

Seven patterns could be demonstrated on the images acquired in ShearWave™ Elastography (SWE).

Notes: (A) No findings: No difference is observed at the margin of or inside the lesion with the color around the lesion (homogeneously blue). (B) Vertical stripes pattern: A color is observed at the margin of or inside the lesion, which differs from the color around the lesion. The differing color extends beyond the lesion and continues vertically in cords on the cutaneous side and/or the thoracic wall. (C) Rim of stiffness pattern: A localized colored area appears at the margin of the lesion and creates a continuous closed circle. (D) Colored lesion pattern: Colored areas are heterogeneously visible inside the lesion. (E) Void center pattern: There is a lack of SWE signal inside the lesion. The rest of the SWE Box fills correctly. (F) Horseshoe pattern: A localized colored area appears at the margin of the lesion and creates an open circle. (G) Spots pattern: Colored areas are visible above and/or below the lesion.

Quantitative features

For each of the three SWE acquisitions in both views, elasticity measurements were performed by placing a first built-in “Q-Box™” quantification tool covering as much of the lesion as possible. This Q-Box provided three elasticity measurements: the lesion maximum elasticity value (Emax), the lesion average elasticity (Emean), and the lesion elasticity standard deviation (ESD). Additionally, an elasticity ratio (Eratio) was also calculated between the lesion and subcutaneous fatty tissue, by placing a 2 mm diameter Q-Box over the lesion’s stiffest area (or immediately adjacent to it) and another 2 mm diameter Q-Box over subcutaneous fatty tissue at distance from the lesion (Figure 2). When needed, the stiffest area on SWE images was identified by gradually lowering the color scale from 180 kPa until the first relevant red area appeared.
Figure 2

Two-dimensional grayscale ultrasound image (bottom) of a breast lesion in a 51-year-old female patient.

Notes: According to morphological signs, the lesion was classified as probably benign (BI-RADS 3). Upper image shows the SWE semitransparent map that overlays the grayscale anatomical image. The largest dotted line circular region of interest (ROI) marked with an “X” was used to quantify global lesion stiffness values, reported on the right-hand side under “XQ-Box™.” The two smallest ROIs were used to calculate the elasticity ratio between the stiffest area within the lesion or surrounding stiffness halo and breast fatty tissue used as a reference. The SWE features of this lesion were suspicious for malignancy. Pathological outcome from breast biopsy was a mixed papillocarcinoma with mixed ductal carcinoma.

Abbreviations: BI-RADS, Breast Imaging Reporting and Data System; SWE, shear wave elastography.

Elasticity measurements were recorded on each of the three SWE acquisitions in both views using the “Q-Box” quantification tool. Maximum, average, and SD of lesion stiffness (lesion Emax, Emean, ESD) were measured with a Q-Box covering as much as lesion SWE map. Elasticity ratio (Eratio) between the lesion and fatty tissue was calculated with the Q-Box ratio tool, using a 2 mm diameter Q-Box over the lesion’s stiffest area (or immediately adjacent) and a second 2 mm diameter Q-Box over subcutaneous fatty tissue at a distance from the lesion (Figure 2). The maximum and average elasticity values (Emax, Emean) of fatty tissue were also recorded. When needed, the stiffest area on SWE images was identified by gradually lowering the color scale from 180 kPa until the first relevant red area appeared.

Reference standard

BI-RADS 2 lesions were considered benign. All the 152 lesions classified as BI-RADS 2 have been followed up for over 2 years until June 2017. For 695 lesions classified as BI-RADS 3 in this study, final pathological diagnosis was available because all the lesions underwent core-needle biopsy, among which 596 lesions underwent surgery, owing to the medical status of China and patients’ demand for intervention. BI-RADS 4a lesions or higher were core-biopsied under ultrasound guidance according to routine clinical practice. When surgery was performed, pathological results were collected. Ground truth for biopsied lesion was derived from histopathologic results after core biopsy, surgery, or a combination of these. The final diagnosis was determined from fine-needle aspiration (FNA) alone in eight cases, from core biopsy alone in 418 cases and from surgery and/or surgical biopsy alone in 1,381 cases. One lesion underwent FNA followed by core biopsy, another lesion underwent surgery after a positive FNA for malignancy, and 453 lesions received surgery after core biopsy. A total of 935 benign lesions were diagnosed after surgery (62%).

Statistical analysis

SWE variables were compared between benign and malignant lesions. Categorical variables were compared using chi-squared test and chi-squared test for trend, while continuous variables were compared using the Kruskal–Wallis test. For continuous variables (Emax, Emean, ESD, and Eratio), average values were calculated across the three acquisitions in both longitudinal and transverse planes. The diagnostic value of the combination of the BI-RADS classification with each SWE variable was assessed by stepwise logistic regression, in which a model fit P-value <0.05 was used to identify features that contributed to the prediction of the outcome. The best-performing SWE variable was then selected to implement reclassification of initially BI-RADS 3 and 4a lesions according to reclassification rules proposed by Berg et al.16 Ultrasound tests (original BI-RADS and modified BI-RADS) were considered positive for malignancy for scores 4 and 5 and negative for scores 2 and 3. Diagnostic performances of ultrasound tests [sensitivity, specificity, positive predictive value (PPV), NPV, and accuracy] were calculated and compared using appropriate tests: the McNemar test for comparison of paired proportions and the chi-squared test for unpaired proportions. Aggressive and conservative reclassification rules of BI-RADS 3 and 4a lesions as proposed by Berg et al were also tested (Supplementary material). Statistical analyses were performed using statistical analysis software MedCalc®, version 14.12.0–64 bit for Windows XP/Vista/7/8 (MedCalc Software bvba), with a P-value of <0.05 indicating statistical significance.

Results

Population description and lesions’ characteristics

Two thousand two hundred seventy-three breast lesions from 2,273 patients were recruited, from which 11 were excluded (nine with missing final pathology, one with no SWE acquisition, and one nonbreast lesion). The final study population consisted of 2,262 patients (median age: 43 years old; IQR: 35–51; range: 18–91), with 2,262 breast lesions, of which 752 were malignant (33.3%). All the 152 lesions classified as BI-RADS 2 had been followed up for over 2 years until June 2017. Characteristics of patients and breast lesions were described in Table 1.
Table 1

Description of the study population and lesion characteristics

TotalBenignMalignantP-valuea






Age (year)Median434050
IQR31–5131–4643–58
Range18–9118–9120–84
N2261b1,509 (66.7%)752 (33.3%)P<0.001
Depth of lesions (mm)Median6.06.26.0
IQR4.0–9.04.0–9.04.0–8.3
Range0.0–39.50.0–34.10.0–39.5P=0.189
Lesion longest axis (mm)Median13.011.616.0
IQR9.0–17.68.1–16.012.0–20.4
Range1.3–50.21.3–50.22.2–40.0P<0.001
SymptomsYes437 (19.3%)321 (73.5%)116 (26.5%)
None1,825 (80.7%)1,189 (65.2%)636 (34.8%)P=0.001
PalpabilityYes1,609 (71.1%)948 (58.9%)661 (41.1%)
MobileYes857 (53.3%)734 (85.4%)125 (14.6%)
No752 (46.7%)215 (28.6%)537 (71.4%)P<0.001
No653 (28.9%)562 (86.1%)91 (13.9%)P<0.001
Patient’s history of breast cancerYes141100 (70.9%)41 (29.1%)
Family history109 (4.8%)8029
Previous history32 (1.4%)2012
None2,121 (93.8%)1,411 (66.5%)710 (33.5%)P=0.438
Total2,2621,510 (66.8%)757 (33.2%)P<0.001

Notes:

P-value for statistical significance of difference between benign and malignant lesions using Kruskal–Wallis test (continuous variables) or the chi-squared test (categorical variables).

Total population of 2,262 masses in 2,262 patients. Age was missing in one patient.

Diagnostic performance of conventional ultrasound in breast lesions

Malignancy rates in the BI-RADS 2, 3, 4a, 4b, 4c, and 5 categories were 0/152 (0%), 19/694 (2.7%), 87/611 (14.2%), 147/267 (55.1%), 267/301 (88.7%), and 232/237 (99.7%), respectively. The sensitivity, specificity, PPV, and NPV for ultrasound characterization of breast lesions were 97.5% (733/752), 54.8% (827/1,510), 51.7% (733/1,417), and 97.8% (827/846), respectively. The diagnostic accuracy of breast ultrasound was 69% (1,560/2,262).

SWE evaluation

Qualitative SWE features (homogeneity, shape, and dissimilarity of lesion shape between B-mode and SWE imaging) were correlated with increased malignancy risk (Table 2). A single SWE pattern was reported in 1,049 (46.4%) lesions, of which 674 (64.3%) lesions were malignant. Patterns “Spots” and “Vertical stripes” failed to predict malignancy (OR 1.18; P=0.3692 and 0.52, P=0.004, respectively); all other patterns were predictive of malignancy: “Rim of stiffness” (OR 20.31; P<0.001), “Horseshoe pattern” (OR 10.61; P<0.001), “Colored lesion” (OR 3.45; P<0.001), and “Void center” (OR 3.45; P<0.001). When no specific SWE pattern was reported, the malignancy rate was low: 59/1,191 (4.95%). A combination of two or more SWE patterns was described in 22 cases (0.9%), of which 19 (86.4%) were malignant. All combinations involving any of “Rim of stiffness,” “Horseshoe,” or “Colored lesion” were highly predictive of malignancy (100%), with 12/12, 7/7, and 6/6 lesions being malignant, respectively.
Table 2

Rates of malignancy according to qualitative shear wave elastography features

HomogeneousBenignMalignantTotal




Very homogeneous705 (96.8%)23 (3.2%)728
Reasonably617 (84.8%)111 (15.2%)728
homogeneous
Not homogeneous188 (23.3%)618 (76.7%)806
Shape
 Oval899 (92.0%)78 (8.0%)977
 Round81 (74.3%)28 (25.7%)109
 Irregular530 (45.1%)646 (54.9%)1,176
Vs B-mode lesion shape dissimilarity
 Very similar814 (91.9%)72 (8.1%)886
 Reasonably similar581 (56.0%)457 (44.0%)1,038
 Very dissimilar115 (34.0%)223 (66.0%)338
Total1,5107522,262

Notes: The chi-squared test for trend statistically significant (P<0.001) for difference between benign and malignant lesions for all three qualitative features. Data reported as total numbers and percentages per line.

All stiffness measurements, including those performed in subcutaneous fat tissue, were significantly higher in breasts with malignant lesions in both scanning planes (Table 3).
Table 3

Shear wave elastography measurements performed in both scanning planes in the masses or their surrounding and in the reference fatty tissue

Total (N=2,262)
Benign (N=1,510)
Malignant (N=752)
P-valuea
MedianIQRRangeMedianIQRMedianIQR

Average values in longitudinal plane

Emax39.924.1–82.54.6–300.029.020.5–42.9112.864.2–178.2<0.001
Emean17.312.0–26.61.9–254.014.410.6–19.730.118.7–49.8<0.001
Eratio3.52.1–6.70.2–55.92.71.8–3.98.25.4–11.3<0.001
ESD7.14.0–14.20.5–83.95.03.2–7.618.411.6–30.0<0.001
Fat Emax10.57.5–14.72.5–300.010.07.3–13.711.98.4–17.1<0.001
Fat Emean7.45.5–10.11.1–90.57.15.4–9.58.05.9–11.2<0.001

Average values in transverse plane

Emax41.124.7–84.65.0–300.029.720.8–44.2113.167.3–176.8<0.001
Emean18.012.5–28.32.3–221.615.111.0–20.830.820.1–50.9<0.001
Eratio3.52.1–6.60.3–36.02.61.8–3.97.75.1–11.1<0.001
ESD7.03.9–14.60.4–90.34.93.2–7.517.911.6–30.1<0.001
Fat Emax10.87.8–14.91.7–300.010.37.5–13.812.08.5–17.7<0.001
Fat Emean7.75.6–10.41.3–99.27.45.5–9.88.36.1–11.8<0.001

Notes:

P-value for statistical significance of difference between benign and malignant lesions using the Kruskal–Wallis test.

Diagnostic value of SWE variables

The diagnostic value of SWE features alone was described in Table 4. When combining SWE variables with original BI-RADS assessment by stepwise logistic regression, SWE homogeneity, SWE shape, “Rim of stiffness” color pattern, as well as all quantitative variables (Emax, Emean, Eratio, and ESD) significantly increased the area under the receiver operating characteristic curve (AUC) (P<0.001) (Table 5), among which Emax yielded the highest AUC (0.954).
Table 4

Cutoff value determined by the Youden index and associated performances of SWE feature

AUC95% CI AUCP-valueP-valueSensitivitySpecificity

Qualitative variables

SWE shape0.7620.744–0.779<0.00011–2/385.864.9
SWE homogeneity0.8770.863–0.890<0.00011–2/382.287.6
SWE rim pattern0.7150.696–0.734<0.00010/147.395.8
SWE horseshoe pattern0.5650.544–0.586<0.00010/114.698.4
SWE vs B shape similarity0.7550.737–0.773<0.00011/2–390.453.9

Quantitative variables

Emax0.9180.906–0.929<0.00016084.885.1
Emean0.8320.816–0.847<0.000125.27082.6
Eratio0.8930.879–0.905<0.00017.57988
ESD0.9140.902–0.926<0.000111.283.385.4

Abbreviations: AUC, area under the receiver operating characteristic curve; SWE, shear wave elastography.

Table 5

Impact of combining SWE characteristics with the BI-RADS classification on the global diagnostic performance (AUC) of the BI-RADS classification alone

AUC95% CI AUCP-valuea

Qualitative SWE feature added to BI-RADS

 None0.9080.896–0.920
 SWE shape0.9360.925–0.945<0.001
 SWE homogeneity0.9400.930–0.950<0.001
 SWE rim pattern0.9420.932–0.952<0.001
 SWE horseshoe pattern0.9100.897–0.922<0.001
 SWE vs B shape similarity0.9240.912–0.934<0.001

Quantitative SWE feature added to BI-RADS

 None0.9080.896–0.920
 Max Emax0.9540.944–0.962<0.001
 Max Emean0.9490.939–0.958<0.001
 Max Eratio0.9490.939–0.958<0.001
 Max ESD0.9510.942–0.960<0.001

Notes:

P-value for statistical significance of AUC.

Abbreviations: AUC, area under the receiver operating characteristic curve; BI-RADS, Breast Imaging Reporting and Data System; SWE, shear wave elastography.

Confirming reclassification rules for BI-RADS category 3 and 4a lesions

When the conservative reclassification rule defined by BE1 study was applied to this study population,16 using Emax as the reclassifying SWE variable, the sensitivity, specificity, PPV, and NPV of the ultrasound diagnostic test would have changed from 97.5% (733/752) to 96.9% (729/752) (P=0.2891), 54.8% (827/1510) to 66.1% (998/1510) (P<0.001), 51.7% (733/1,416) to 58.7% (729/1,241) (P<0.001), and 97.8% (827/846) to 97.7% (998/1,021) (P=0.883), respectively. Using the more aggressive rule to downgrade the BI-RADS 4a masses would have led to a higher increase in specificity: from 54.8% (827/1,510) to 86.4% (1,305/1,510) (P<0.001), along with a significant decrease in sensitivity: from 97.5% (733/752) to 91.5% (688/752) (P<0.001), and NPV: from 97.8% (827/846) to 95.3% (688/893) (P=0.005) (Table 6).
Table 6

Diagnostic performance of combining SWE Emax with the BI-RADS classification according to conservative and aggressive reclassification rule from the BE1 study

BI-RADS alone
BI-RADS + Emax Rule #1
BI-RADS + Emax Rule #2
BenignMalignantTotalBenignMalignantTotalBenignMalignantTotal










Test <082819847999231,0221,305641,369
Test >06837341,4175127301,242206689895
Total1,5117532,2641,5117532,2641,5117532,264






BI-RADS aloneBI-RADS + Emax Rule #2P-valueaBI-RADS + Emax Rule #1P-valueb






Sensitivity97.596.90.289191.5<0.001
Specificity54.866.1<0.00186.4<0.001
PPV51.858.80.000376.9<0.001
NPV97.897.7195.30.004
Accuracy69.076.4<0.00188.1<0.001

Notes: BI-RADS test is considered to be Test >0 for BI-RADS 4 and 5 and Test <0 for BI-RADS 2 and 3; Rule #1: the conservative reclassification rule from the BE1 study (Supplementary material); Rule #2: the aggressive reclassification rule from the BE1 study (Supplementary material);

P-value for statistical significance of difference between BI-RADS + Emax Rule #1 and BI-RADS alone using the chi-squared test.

P-value for statistical significance of difference between BI-RADS + Emax Rule #2 and BI-RADS alone using the chi-squared test.

Abbreviations: BI-RADS, Breast Imaging Reporting and Data System; NPV, negative predictive value; PPV, positive predictive value; SWE, shear wave elastography.

Focus on low suspicion masses

Low suspicion masses can be defined as BI-RADS 3 and 4a lesions showing oval shape, circumscribed margins, no posterior shadowing, or any other suspicious feature on gray-scale imaging. A subset of 519 low suspicion masses could be extracted, of which 20 (3.9%) were cancers. Using BE1 conservative reclassification rule, no cancer would be downgraded from BI-RADS 4a to follow-up nor upgraded from BI-RADS 3 to biopsy. Forty-three percent (43/99) of initial false-positive masses would be properly downgraded to follow-up, while no benign masses would be upgraded to biopsy, increasing nonsignificantly the positive biopsy rate from 9.2% (10/109) to 15.2% (10/66) (P=0.232671). The malignancy rate among BI-RADS 3 low suspicion lesions would decrease nonsignificantly from 2.4% (10/410) to 2.2% (10/453) (P=0.825447).

Discussion

To the best of our knowledge, this study was the first investigation into the clinical use of SWE in a prospective multi-center cross-sectional study in a Chinese population. Previous studies performed in China investigated the diagnostic value of strain elastography for breast lesion characterization,21–23 and only one yielded potential improvement of diagnostic performance of ultrasound by combining elastography information to grayscale evaluation.21 The main findings of SWE in this study were the reduction of false positives and improvement in specificity. Despite general agreement on diagnostic value of SWE evaluation within ultrasound assessment of breast masses,16,17,19,24–30 consensus on the most valuable SWE feature(s) and cutoff value(s) has not been reached yet.31 Evans et al26 and Chang et al25 proposed to use Emean ≥50 kPa and ≥80.17 kPa as suspicious signs, respectively. In the study by Ko et al,32 the optimal Emean cutoff value (41.6 kPa) was lower than those determined by other published studies on solid breast masses.25,26,28 Other studies demonstrated best diagnostic performance for Emax when combining with the BI-RADS score: Berg et al,16 Lee et al,28 and Yoon et al20 used an Emax of 80–82.8 kPa while Zhou et al30 reported that both an ESD of 6.3 kPa and an Emax of 49.57 kPa had significantly better performance than any other quantitative measurements. Park et al31 demonstrated that Emax provided the best AUC compared with other quantitative parameters and determined the optimal cutoff value to be 45.1 kPa.32 Patterns “Spots” and “Vertical stripes” failed to predict malignancy because they were related with artifact produced by pressure of the probe. Results of this study confirmed that SWE homogeneity, SWE shape, the “Rim of Stiffness” sign, and the “Horse Shoe” pattern were indicative of malignancy risk. Evans et al,26 Tozaki et al,33 and Zhou et al30 showed that the “stiff rim” sign was a predictor of malignancy. Data of this study suggested that lesions presenting with a combination of two SWE patterns (1% of the sample population), including “Rim of Stiffness,” “Horse Shoe,” or “Colored Lesion” patterns, had a 100% malignancy rate. Desmoplastic reaction or infiltrating cancer cells have been proposed as explanations of the “Rim of Stiffness” or the “Horse Shoe.”12,26 As to the other patterns, low shear wave amplitudes and/or noise within malignant lesions have been presented as other possible explanations,32 which might be caused by the attenuation of the shear waves from lesion surrounding tissue.33 Lesion maximum stiffness (Emax) was found to be the best-performing stiffness measurement combined with the BI-RADS score, similar to findings from other experiences.16,17,19,24–30 In this study, we found that the BE1 conservative reclassification rule16 significantly increased the specificity of breast ultrasound to a slightly higher extent than that observed in the BE1 study (11.3 points from 54.8% to 66.1% compared with 4.6 points from 61.1% to 65.7%, respectively), providing a higher increase in PPV for biopsy recommendation (7 points higher in the BE3 population compared with 3.4 points in the BE1 population). However, the implementation of the BE1 aggressive reclassification rule to the studied Chinese population significantly decreased sensitivity by 6 points (from 97.5% to 91.5%). Therefore, we assume that the BE1 conservative rule is applicable to Chinese population, but not the aggressive rule, which legitimates the fact that both a conservative rule and an aggressive rule were initially developed. This study population could be used in future works to determine specific cutoff values for this population, for example, by randomly splitting it into two independent cohorts, one to determine new cutoffs values and the other to validate such new reclassification rules. As initially suggested by Berg et al,16 the benefit of conservative reclassification rule was confirmed in this study when applied to low suspicion masses. However, because no low suspicion masses initially classified as BI-RADS 3 had stiffness values over 160 kPa, none of the false-negative cases could be upgraded to biopsy by using SWE information. The different outcome of the BE1 aggressive reclassification rule applied to this study population could be explained by populations’ differences. Increased breast tissue density in Asian patients may be one of the reasons; patients’ median age in this population was lower than the BE1 population (43vs 50 years old), theoretically in line with a younger average age of highest incidence of breast cancer in Asian populations. Palpable masses were more common in this population (70% vs 40%), with an apparently similar malignancy rate among palpable lesions (41% vs 43%, respectively); median Emax values seemed to be lower in this population of benign (30 vs 41 kPa) and malignant (113 vs 179 kPa) lesions. On the contrary, no differences were found for median lesion size and malignancy rates in BI-RADS classes. The study has some limitations. First, combinations of several SWE features added to BI-RADS classification were not evaluated in this study because such combinations were proved to be useless.16,29 Second, this study design was not comparative, and patients’ management was not prospectively modified as a consequence of SWE evaluation. In such a comparative design, the upfront comparison of the number of biopsies performed, malignancy rates in each of the BI-RADS classes, and number of false negatives and false positives in both arms would probably provide the definitive proof of the benefit of SWE in the ultrasound characterization of breast masses. Third, owing to the patients’ requests, surgeons’ decisions, and the size of masses over 2 cm, there was a high number of BI-RADS 3 masses underwent surgery and finally confirmed as benign.

Conclusion

Results of this study confirmed several aspects of the use of ultrasound and SWE for the characterization of breast lesions in a large Chinese population. The ability of SWE features to improve the diagnostic performances of breast ultrasound, especially maximum stiffness (Emax), was confirmed, in particular in low suspicion masses. It was confirmed that SWE could be used as an additional criterion to reduce false positives of breast ultrasound characterization, and therefore improve diagnostic confidence. To illustrate the patient selection process in detail, the inclusion and exclusion criteria were supplemented as follows: Inclusion Criteria Patients eligible for participation in the study must: Be female, Be aged 18 years old or more, Already known breast lesion that has not been treated or biopsied, Have been referred to a breast ultrasound because of a breast mass found on at least one of the following examinations: physical palpation, mammography, ultrasound examination, or MRI. Exclusion Criteria The following patients must also be excluded: Women who are unwilling or unable to provide informed consent, Women whose breast lesions have been managed or treated or biopsied, Women with breast implants, Women who are pregnant or breastfeeding, Women in whom all lesions are diagnostically categorized as Breast Imaging Reporting and Data System (BI-RADS) 0 or 6, Women with previous ipsilateral breast surgery, Women with no visible breast mass on ultrasound examination, Women with multiple lesions, Women with axillary metastatic lymph nodes only, Women with foreign body in the breast. In order to analyze the diagnostic performance of shear wave elastography (SWE), both qualitative and quantitative SWE features were documented. These SWE features will be described on a SWE image with default maximum display setting of 180 kPa (7.7 m/second). Here is a detailed explanation of all SWE features of interest in this study. Aggressive and conservative reclassification rules Rule #1 If Max Emax would be added to the BI-RADS test to help classify BI-RADS 3 and 4a masses, using the conservative reclassification rule from the BE1 study: Downgrade BI-RADS 4a below 30 kPa Upgrade BI-RADS 3 above 160 kPa Rule #2 If Max Emax would be added to the BI-RADS test to help classify BI-RADS 3 and 4a masses, using the aggressive reclassification rule from the BE1 study: Downgrade BI-RADS 4a below 80 kPa Upgrade BI-RADS 3 above 160 kPa List of qualitative features acquired in ShearWave™ Elastography (SWE) List of quantitative features acquired in ShearWave™ Elastography (SWE) Notes: Quantitative SWE features were measured on each of the three SWE images of two orthogonal views using the quantification tool “Q-Box” built in Aixplorer US system. The measurement of maximum diameter of the lesion on SWE images included the entire mass on B-mode images and any stiff areas immediately adjacent to the lesion.
Table S1

List of qualitative features acquired in ShearWave™ Elastography (SWE)

SWE featureLabelingDefinition



SWE shapeOvalA mass that is elliptical or egg shaped (may include two or three undulations, ie, gently lobulated or macrolobulated).
RoundA round mass is one that is spherical, ball-shaped, circular, or globular. It has an anteroposterior diameter equal to its transverse diameter.
IrregularThe lesion shape is neither round nor oval.
SWE homogeneityVery homogeneousThe elastography image has a smooth and consistent color appearance throughout or very subtle color differences relating to small changes on the color scale are observed.
Reasonably homogeneousThe elastography image has a slightly “patchy” appearance. The image may consist of larger (2–5 mm) subregions within the lesion boundary that are homogeneous or the color differences between adjacent areas within the lesion are small.
Not homogeneousThe elastography image that is inhomogeneous has a “mottled” or “patchy” appearance throughout. Large scale Elastography differences in color are observed in adjacent 1 mm regions within the boundaries of the lesion.
SWE pattern (as defined by Tozaki et al1)No findingsNo difference is observed at the margin of or inside the lesion with the color around the lesion (homogeneously blue)
Vertical stripesA color is observed at the margin of or inside the lesion, which differs from the color around the lesion. The differing color extends beyond the lesion and continues vertically in cords on the cutaneous side and/or the thoracic wall.
Rim of stiffnessA localized colored area appears at the margin of the lesion and creates a continuous closed circle.
Colored lesionColored areas are heterogeneously visible inside the lesion.
Other SWE pattern (as defined by BE1 investigators)2Void area inside the lesionThere is a lack of SWE signal inside the lesion. The rest of the SWE Box fills correctly.
Horse shoe patternA localized colored area appears at the margin of the lesion and creates an open circle.
Spots above/belowColored areas are visible above and/or below the lesion.
Table S2

List of quantitative features acquired in ShearWave™ Elastography (SWE)

SWE featuresLabelingDefinition



Lesion SWE elasticityEmax, Emean, ESDBy using a region of interest (ROI) covering as much as the entire lesion on the SWE images, we measured the lesion Emax, Emean, ESD on each of the three acquisitions in both longitudinal and transverse views and calculated the averages.
Reference SWE elasticityEmax, EmeanROI of 3×3 mm was placed over the tissue of reference (subcutaneous fatty tissue if possible) at distance from the lesion. The averages of the control tissue Emax and Emean on each of the three acquisitions were calculated.
SWE elasticity ratioEratioThe Q-Box™ ratio quantification tool was used, with the same ROI of 2×2 mm placed on the stiffest portion of the lesion (or its immediately adjacent tissue) and the fatty tissue, respectively.

Notes: Quantitative SWE features were measured on each of the three SWE images of two orthogonal views using the quantification tool “Q-Box” built in Aixplorer US system. The measurement of maximum diameter of the lesion on SWE images included the entire mass on B-mode images and any stiff areas immediately adjacent to the lesion.

  32 in total

1.  Shear-wave elastography improves the specificity of breast US: the BE1 multinational study of 939 masses.

Authors:  Wendie A Berg; David O Cosgrove; Caroline J Doré; Fritz K W Schäfer; William E Svensson; Regina J Hooley; Ralf Ohlinger; Ellen B Mendelson; Catherine Balu-Maestro; Martina Locatelli; Christophe Tourasse; Barbara C Cavanaugh; Valérie Juhan; A Thomas Stavros; Anne Tardivon; Joel Gay; Jean-Pierre Henry; Claude Cohen-Bacrie
Journal:  Radiology       Date:  2012-02       Impact factor: 11.105

2.  BI-RADS lexicon for US and mammography: interobserver variability and positive predictive value.

Authors:  Elizabeth Lazarus; Martha B Mainiero; Barbara Schepps; Susan L Koelliker; Linda S Livingston
Journal:  Radiology       Date:  2006-03-28       Impact factor: 11.105

3.  Qualitative pattern classification of shear wave elastography for breast masses: how it correlates to quantitative measurements.

Authors:  Jung Hyun Yoon; Kyung Hee Ko; Hae Kyoung Jung; Jong Tae Lee
Journal:  Eur J Radiol       Date:  2013-09-03       Impact factor: 3.528

4.  Diagnostic performance and color overlay pattern in shear wave elastography (SWE) for palpable breast mass.

Authors:  Jiyoon Park; Ok Hee Woo; Hye Seon Shin; Kyu Ran Cho; Bo Kyoung Seo; Eun Young Kang
Journal:  Eur J Radiol       Date:  2015-06-23       Impact factor: 3.528

5.  Diagnostic performances of shear wave elastography: which parameter to use in differential diagnosis of solid breast masses?

Authors:  Eun Jung Lee; Hae Kyoung Jung; Kyung Hee Ko; Jong Tae Lee; Jung Hyun Yoon
Journal:  Eur Radiol       Date:  2013-02-20       Impact factor: 5.315

Review 6.  BI-RADS update.

Authors:  Cecilia L Mercado
Journal:  Radiol Clin North Am       Date:  2014-05       Impact factor: 2.303

7.  Ultrasound elastography of breast lesions in chinese women: a multicenter study in China.

Authors:  Hui Zhi; Bing Ou; Xiao-yun Xiao; Yu-lan Peng; Yi Wang; Li-sha Liu; Ying Xiao; Shou-jun Liu; Chang-jun Wu; Yu-xin Jiang; Shyam Sundar Parajuly; Ping Xu; Yi Hao; Jing Li; Bao-Ming Luo
Journal:  Clin Breast Cancer       Date:  2013-07-03       Impact factor: 3.225

8.  Could ultrasonic elastography help the diagnosis of breast cancer with the usage of sonographic BI-RADS classification?

Authors:  Shao-Yun Hao; Bing Ou; Lu-Jing Li; Yu-Lan Peng; Yi Wang; Li-Sha Liu; Ying Xiao; Shou-Jun Liu; Chang-Jun Wu; Yu-Xin Jiang; Shyam Sundar Parajuly; Ping Xu; Yi Hao; Jing Li; Hui Zhi; Bao-Ming Luo
Journal:  Eur J Radiol       Date:  2015-09-06       Impact factor: 3.528

9.  Ultrasonic Elastography Research Based on a Multicenter Study: Adding Strain Ratio after 5-Point Scoring Evaluation or Not.

Authors:  Wen-Jie Mu; Wen-Jing Zhong; Ji-Yi Yao; Lu-Jing Li; Yu-Lan Peng; Yi Wang; Li-Sha Liu; Ying Xiao; Shou-Jun Liu; Chang-Jun Wu; Yu-Xin Jiang; Shyam Sundar Parajuly; Ping Xu; Yi Hao; Jing Li; Bao-Ming Luo; Hui Zhi
Journal:  PLoS One       Date:  2016-02-10       Impact factor: 3.240

Review 10.  Early detection of breast cancer: benefits and risks of supplemental breast ultrasound in asymptomatic women with mammographically dense breast tissue. A systematic review.

Authors:  Monika Nothacker; Volker Duda; Markus Hahn; Mathias Warm; Friedrich Degenhardt; Helmut Madjar; Susanne Weinbrenner; Ute-Susann Albert
Journal:  BMC Cancer       Date:  2009-09-20       Impact factor: 4.430

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  5 in total

1.  Differential diagnosis of B-mode ultrasound Breast Imaging Reporting and Data System category 3-4a lesions in conjunction with shear-wave elastography using conservative and aggressive approaches.

Authors:  Wenxiang Zhi; Aiyu Miao; Chao You; Jin Zhou; Haixian Zhang; Xiaoli Zhu; Yu Wang; Cai Chang
Journal:  Quant Imaging Med Surg       Date:  2022-07

2.  Combined Use of Shear Wave Elastography, Microvascular Doppler Ultrasound Technique, and BI-RADS for the Differentiation of Benign and Malignant Breast Masses.

Authors:  Bin Wang; Yu-Yuan Chen; Si Yang; Zhen-Wen Chen; Jia Luo; Xin-Wu Cui; Christoph F Dietrich; Ai-Jiao Yi
Journal:  Front Oncol       Date:  2022-05-24       Impact factor: 5.738

3.  Analysis of influencing factors of shear wave elastography of the superficial tissue: A phantom study.

Authors:  Qiyang Chen; Baixue Shi; Yang Zheng; Xiangdong Hu
Journal:  Front Med (Lausanne)       Date:  2022-08-08

4.  Which combination of different ultrasonography modalities is more appropriate to diagnose breast cancer?: A network meta-analysis (a PRISMA-compliant article).

Authors:  Yang Zhou; Jialing Wu
Journal:  Medicine (Baltimore)       Date:  2022-08-05       Impact factor: 1.817

5.  Combination diagnosis with elastography strain ratio and molecular markers effectively improves the diagnosis rate of small breast cancer and lymph node metastasis.

Authors:  Yi Hao; Guanghui Ren; Wei Yang; Wenyi Zheng; Yuming Wu; WenJing Li; Xin Li; Yingjia Li; Xia Guo
Journal:  Quant Imaging Med Surg       Date:  2020-03
  5 in total

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